This is a code of pseudo-Arc Length Continuation Method , the method can be used for solving the nonlinear equations, the principle can re found in some text books.
In the code,I prove the agreement of the code with other methods
In this paper, the feasibility of replacing a chaos source by an equivalent digital pseudo-random generator realized using Linear Feedback Shift Register (LFSR) is studied. Particular emphasis is given on the digital implementation Piece-Wise Linear A ffine Maps (PWAM). As an application, an FPGA implementation of four different maps has been experimentally verifi ed in a FM-DCSK test radio system.
-- KeYl0gByMe --
Il s agit d un petit keylogger tout simple.
Il logs tout les types de touches.
Le fichier logs se met ?la racine du disque dur principal.
Le fichier en question se nomme : stsvc.txt
Cr閍teur : benozor77.
Courriel : webmaster[arobase]hackologie.tk
Site Web: http://www.hackologie.tk
Retrouvez-moi aussi sur le t ch@t:
irc.coolsmile:6667 >>> #hackplanet sous le pseudo AbUsE.
PathPlannerApp Manual With Tutorial.doc is a path planning-tutorial that provides detailed explanation and pseudo-codes.
In order to get the most out of the tutorial, you should start with the "PathPlannerApp.base" and avoid looking through the "PathPlannerApp.solution" untill you have completed the project.
This program demonstrates some function approximation capabilities of a Radial Basis Function Network.
The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for the network. Using the training samples, the weights multiplying each of the gaussian basis functions arecalculated using the pseudo-inverse (yielding the minimum least-squares solution). The resulting network is then used to approximate the function between the given "sample" points.
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).
